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More scalable and valuable market intelligence with deep text analytics - MeaningCloud webinar

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Analyze unstructured information about your customers, competitors and environment to turn it into actionable insights about your business.
MeaningCloud webinar, June 24, 2020.
More info and webinar contents https://www.meaningcloud.com/blog/webinar-text-analytics-market-intelligence
MeaningCloud https://www.meaningcloud.com

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More scalable and valuable market intelligence with deep text analytics - MeaningCloud webinar

  1. 1. Deep Text Analytics for More Valuable and Scalable Market Intelligence June 24, 2020 MEANINGCLOUD – 2020 Webinar
  2. 2. 2 MEANINGCLOUD - 2020 We hope you are safe and well
  3. 3. MEANINGCLOUD - 2020 3 How to participate • Send questions using the chat feature, or • Click the “Raise your hand” button to speak and we will enable your mic • Afterwards, you’ll be able to access a recording of the webinar and its contents as tutorials on our blog Before we get started… Rob Wescott Business Development Manager
  4. 4. 4 MEANINGCLOUD – 2020 Why this webinar? Market / Competitive Intelligence is very valuable How to make it more scalable and actionable?
  5. 5. MEANINGCLOUD - 2020 5 Agenda • Introduction to Market Intelligence – Benefits and limitations • Applying deep text analytics – Integrating multiple sources – Discovering business opportunities – Understanding our customers in depth – Analyzing the environment – Detecting signs of growth • Conclusions and questions rwescott@meaningcloud.com
  6. 6. MEANINGCLOUD - 2020 6 Market Intelligence Market Intelligence Customers Competitors Partners and supply chain Investors Environment Actionable information for making strategic decisions
  7. 7. MEANINGCLOUD - 2020 7 Why Market Intelligence? Market Intelligence Custo- mers • Needs • Segments • Perceptions, opinions • Business opportunities Compet- itors • Preferences and positioning • New entrants • New developments in competitors Partners • Buy/partner opportunities • Developments in supply chain • Investment opportunities Environ- ment • Emerging technologies • Relevant regulation • Economic situation • Achieve competitive advantage • Refine business model • Quick respond in the face of changing environments
  8. 8. MEANINGCLOUD - 2020 8 What is (and what is NOT) Market Intelligence Market Intelligence Competitive Intelligence Business Intelligence Mainly external sources Mainly internal sources Environment Partners Customers Products Competitors and other rivals Customers Operations
  9. 9. MEANINGCLOUD - 2020 9 The truth is our there Leave all this information untapped is not an option Social networks Forums Blogs Media Websites
  10. 10. MEANINGCLOUD - 2020 10 Capture – Analyze - Act Harvest external data Analyze millions of external documents and postings Share and distribute
  11. 11. Present Market Intelligence solutions: some limitations
  12. 12. MEANINGCLOUD - 2020 12 Digesting all that information Many tools are limited to basic text classification and information extraction
  13. 13. Context is everything – from that comes the understanding of meaning.
  14. 14. MEANINGCLOUD - 2020 14 All relevant information? False alarms (low analysis precision, e.g., “apple” instead of “Apple, Inc.”) Missed targets (information sources not covered, low analysis recall)
  15. 15. MEANINGCLOUD - 2020 15 Market Intelligence challenges From data… to actionable insights Manual, inefficient processes: LOOKING FOR A NEEDLE IN A HAYSTACK
  16. 16. MEANINGCLOUD - 2020 16 Deep automatic understanding of text is not easy Volume: quantity Variety: languages, formats Velocity: immediacy Ambiguity: natural, informal language Automatic means are needed… but not anyone can cut it
  17. 17. MeaningCloud: applying Deep Semantic Analytics to Market Intelligence
  18. 18. 18 MEANINGCLOUD - 2020 MeaningCloud: Meaning as a Service Standard APIs (SaaS and on-premises) Use it free at www.meaningcloud.com
  19. 19. MEANINGCLOUD - 2020 19 Success in this scenario depends on three factors Integrate any source Niche, domain-specific sources Generate actionable insights Business oriented, enabling decision making Understand language Ambiguity, specialization
  20. 20. MEANINGCLOUD - 2020 20 MeaningCloud’s approach to Market Intelligence Harvesting content from social networks, blogs, forums, review sites… Deep Text Analytics Language understanding Actionable insights
  21. 21. MEANINGCLOUD - 2020 21 MeaningCloud’s approach to Market Intelligence: two improvement areas Integrate any source Generate actionable insights
  22. 22. 1. Integrate any source
  23. 23. MEANINGCLOUD - 2020 23 Extracting information from any source Standard integrations A variety of social networks and information providers Web scraping technology Browse web sites like a human user: authentication, session management, querying, and data extraction Other tools are limited to most popular social networks and media
  24. 24. MEANINGCLOUD - 2020 24 All the sources that you can extract Forums, review sites Customer insights, competitive analysis, financial sentiment Social networks Customer insights, competitive analysis, influencer analysis Competitors New products, projects and partnerships News Competitive analysis, financing events Government and regulators Regulation, administrative authorizations Industry sites Supply chain, shortages Customers (e.g.: buyers) New projects and partnerships, procurement solicitations
  25. 25. 2. Generate actionable insights
  26. 26. MEANINGCLOUD - 2020 26 MeaningCloud understands language 26 Performs a deep morphosyntactic and semantic analysis of text Disambiguation technology “Washington”: city / football team / surname Standard tools to detect themes, entities, concepts, sentiment, emotion, intention, discover new themes, user profiling Customize to your application/domain to increase accuracy
  27. 27. 27 MEANINGCLOUD – 2020 Totally customizable text analytics • Create your own dictionaries, classification models, sentiment analysis, etc. • Graphical user interface - no programming! • Improve precision & recall More information: • Customization tools: recorded webinar • Dictionaries and sentiment models: recorded webinar, tutorial • Text classification models: recorded webinar, tutorial • Deep categorization models: recorded webinar, tutorial
  28. 28. 28 MEANINGCLOUD - 2020 Traditional text analytics: leaving meaning behind Entities Themes Sentiment Discover the deep meaning of complex documents
  29. 29. MEANINGCLOUD - 2020 29 Deep Semantic Analytics Extraction of • Passage-level categories • Semantic relationships John Smith Industrial Manufacturing Inc. Global Technologies Corp. Has acquired Is executive Business- Mergers& Acquisitions Business- Corporate executives John Smith Industrial Manufacturing Inc. Global TechnologiesCorp. Theme: Business-Companies
  30. 30. MEANINGCLOUD - 2020 30 Examples of deep insights • New products “DataCorp has launched its new product for artificial intelligence NextAI, targeted at the online banking segment.” • Supply chain “ChemCorp can’t sell plants in Ireland , moves to close them.” • Mergers and acquisitions “Some investors are already discounting the coming acquisition of Industrial Manufacturing by Global Tech.” Launching company Product launch Product category Product name Market segment Agent company Supply chain event Location Supply chain event M&A rumor Acquired company Acquiring company Actionable insights
  31. 31. Discovering commercial opportunities
  32. 32. MEANINGCLOUD - 2020 32 Your customers are buying
  33. 33. MEANINGCLOUD - 2020 33 Discovery and analysis of purchase processes Scraping&Crawling Deepsemanticanalysis Filtering&Mapping CRM
  34. 34. MEANINGCLOUD - 2020 34 Sales opportunity generation From a pool of unstructured documents… … to a set of qualified and QUANTIFIED sales opportunities SITE OPPORTUNITYNAME COUNTRY CONTACTO PRODUCT PRESENTATION QUANTITY PRICE DATE USGov.gob 500,000Protectivemasks US JohnSelf N95masks 1,000uds 500,000 10,000,000$ 2020-03-15 EUPublic.eu 1,000,000CoronavirustestsGermany SelinaStreet Molecular(RT-PCR)tests10,000uds 1,000,000 30,000,000€ 2020-03-03 NHS.uk 10,000MechanicalventilatorsUK StevenSimon BiPAPVentilators1ud 10,000 £400,000,000 2020-04-04 SITE OPPORTUNITYNAME COUNTRY CONTACTO PRODUCT PRESENTATION QUANTITY PRICE DATE USGov.gob 500,000Protectivemasks US JohnSelf N95masks 1,000uds 500,000 10,000,000$ 2020-03-15 EUPublic.eu 1,000,000CoronavirustestsGermany SelinaStreet Molecular(RT-PCR)tests10,000uds 1,000,000 30,000,000€ 2020-03-03 NHS.uk 10,000MechanicalventilatorsUK StevenSimon BiPAPVentilators1ud 10,000 £400,000,000 2020-04-04 SITE OPPORTUNITYNAME COUNTRY CONTACTO PRODUCT PRESENTATION QUANTITY PRICE DATE USGov.gob 500,000Protectivemasks US JohnSelf N95masks 1,000uds 500,000 10,000,000$ 2020-03-15 EUPublic.eu 1,000,000CoronavirustestsGermany SelinaStreet Molecular(RT-PCR)tests10,000uds 1,000,000 30,000,000€ 2020-03-03 NHS.uk 10,000MechanicalventilatorsUK StevenSimon BiPAPVentilators1ud 10,000 £400,000,000 2020-04-04
  35. 35. Understanding our customers deeply
  36. 36. MEANINGCLOUD - 2020 36 Opinion, emotion, intention, satisfaction Forums, review sites, communities… are an immense source of information Sentiment Analysis Emotion Recognition Intention Analysis Multidimensional Satisfaction Learn more in this recorded webinar and tutorial An integrated view of our customers
  37. 37. MEANINGCLOUD - 2020 37 Understanding purchasing criteria and preferences Concerns and delighters • What concerns them and what they love about our category? Key purchasing criteria • What attributes are the most relevant? Perceptions • How do they consider us, when compared to the competition? Preferences • Why do they purchase from us? And from the competitors?
  38. 38. Analyzing the environment
  39. 39. MEANINGCLOUD - 2020 39 Anatomy of patents/scientific articles/regulations Classification according to (custom-built) relevant taxonomies, e.g.: related to our product categories Identification of (custom- defined) relevant topics, e.g.: extraction of medical vocabulary Similarity-based grouping Discovery of emerging themes, e.g.: coronavirus Theme X Theme Y Theme Z
  40. 40. MEANINGCLOUD - 2020 40 Automatic summarization: extraction of meaningful sentences Passage-level categorization: subtopic structure, e.g.: provisions in a law Extraction of complex insights, e.g., semantic relationships “”reductions in the size of the training set may not be assumed to cause algorithm bias” Variation sign Causal variable Effect Result variable Anatomy of patents/scientific articles/regulations
  41. 41. Detecting growth signals
  42. 42. MEANINGCLOUD - 2020 42 Looking for a company to partner with or to invest in? News Social Jobs Growth Signals • Media presence (SOV, sentiment) • New customers • New products • New projects • New partnerships • New recruitments • New investments • Mergers and acquisitions
  43. 43. Influencer analysis
  44. 44. MEANINGCLOUD - 2020 44 Understanding influencers and audiences • Influencer profiling: publication and audience themes, engagement • Influencer targeting • Fake news detection
  45. 45. Conclusions
  46. 46. 46 MEANINGCLOUD – 2020 Analyze your industry’s complete lifecycle Funding and financing • Foundation events: “Serial entrepreneur XXX has funded electronics company to develop ZZZ.” • Financing events: “Investor XXX has invested $1 million in electronics company YYY.” Business • Mergers and acquisitions: "Rumors signal interest of XXX in acquiring company YYY.“ • Alliances and collaborations: "electronics companies XXX and YYY announce collaboration to develop ZZZ.“ Research • Research topics: "This article explores the application of XXX technique to build YYY.“ • Patents: "Patent granted to Company XXX for a new YYY technology.“ Development • Prototypes: "New doubts cast over product XXX after disappointing pilot test." Regulatory and administrative • Approval: "FDA granted approval for medical device XXX." • Bans: "The government has banned the import and use of XXX as a component of YYY." Supply chain • Supply chain and manufacturing: "XXX reaches agreement with YYY for the manufacturing of ZZZ." Marketing • Product launch: "XXX launches new product YYY." • Usage experience: “Product XXX is very easy to use."
  47. 47. 47 MEANINGCLOUD – 2020 Conclusions Limitations in present technologies reduce the value of Market / Competitive Intelligence The integration of a broad variety of sources and the extraction of deep insights enable to make it more scalable and actionable
  48. 48. Q & A time
  49. 49. MEANINGCLOUD - 2020 49 Stay tuned to our blog and emails We’ll be posting a recording of the webinar and its contents as tutorials soon
  50. 50. 50 MEANINGCLOUD - 2020 www.meaningcloud.com Automating the extraction of Meaning from any information source. +1 (917) 930-76003537 36th Street New York, NY 11106 rwescott@meaningcloud.com Thank you for your attention!

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